AI Lunch Talk
AI will drive audio into the next era.
When humans interact socially via speech, our brains do an extraordinary job converting pressure waves into neural encodings of phonemes, words, sentences and concepts that we can make sense of, reflect on, and respond to. Sometimes, the challenge is too hard, like if you are in a noisy party and head for the dance floor because it just feels too tiring to have a conversation.
Or you are in a video conference and struggle to keep focus on what the person in front of you is saying.
Augmented hearing is setting out to bring the ideal sound scene to you at all times. Just like when your smartphone camera enables you to take beautiful photos by blurring the background, making the subject even more clear and vivid, or ensuring that the sky is alway clear blue and the sunset has those intense pink and orange colours. This is enabled via AI. For good reasons, AI tools are rarely applied to your audio scenes. Bridging AI with neuro science and audio insights, we envision a future where people can have clear and fluent conversations without being unnecessarily drained from poor audio conditions.
graduated from DTU as M.Sc. Biomedical Engineering in 2017. Specialised in ML, DSP and Auditory Signal processing, generally focused on signals from and functional images of the brain. Worked with Digital Transformation for McKinsey & Co, and subsequently with developing audiological algorithms for hearing aids at Demant. Genuinely passionate about bringing technology to improve people’s lives.
With a background in the research field of Natural Language Processing from DTU Compute and having worked as a Senior Scientist at Demant and now being affiliated with DTU Entrepreneurship, Michael’s force is to spot trends and new opportunities in combining AI with various domains in order to reinvent value chains.
How can AI/ML help to make best use of the worlds agricultural resources?
At FOSS our mission is to provide data and insights to help the food industry make optimal use of raw materials and reduce food waste. In this presentation we will share insight on the journey we are on to apply data science and machine learning to address some of the big challenges the world is facing. It is a journey full of possibilities, but also a journey which emphasizes a range of practical challenges that needs to be addressed to apply data science to support a truly data driven food production system.
VP for frontend Innovation, Thomas Nikolajsen,
holds a Ph.D in Optical Science from DTU. Since then he has worked with innovation in industry and various startups with focus on how to apply new technology to address key problems associated with sustainable food production. He has been with FOSS since 2020 heading a cross discipline innovation team responsible for scoping the development of the company's future solution.